MétaCan
Menu
Back to cohort
Record W6981745943

EXPLORING THE ROLE OF FAMILY CAREGIVERS DURING CARE TRANSITIONS OF RURAL OLDER ADULTS FOLLOWING A HIP FRACTURE

2011· article· en· W6981745943 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship@Western (Western University) · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsnot available
Fundersnot available
KeywordsFamily caregiversThematic analysisFocus groupEthnographyHealth carePopulationHealth professionalsQualitative research
DOInot available

Abstract

fetched live from OpenAlex

As the population ages, hip fractures become a major concern for older adults. Using an ethnographic approach, this research aimed to understand first, the role of family caregivers following a hip fracture, and secondly, to determine caregiver needs and what contributions they make to knowledge exchange. This was achieved by conducting in-depth interviews with eleven patients, eight family caregivers and twenty-two healthcare providers. The study took place in a small rural setting in south-western Ontario. Thematic analysis of the data indicated that family caregivers play a vital role in the rehabilitation journey of patients with a hip fracture. As well, family caregivers make an important contribution to knowledge exchange during transitions between care settings by providing valuable information about the patient. Future research needs to examine more closely how these contributions to knowledge exchange create smoother transitions. Going forward, healthcare providers and family caregivers should focus on co­ creating knowledge and working together to benefit the patient.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.003
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.099
GPT teacher head0.288
Teacher spread0.189 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueScholarship@Western (Western University)Same topicLibrary Science and AdministrationFrench-language works237,207